Dataset Versions

v3

2023-11-17 4:59pm

Generated on Nov 17, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 87%
285Images
Valid Set 8%
27Images
Test Set 4%
14Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 6% of pixels

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